title: Influence of cell morphology in a computational model of ON and OFF retinal ganglion cells.
abstract: We developed anatomically and biophysically detailed ionic models to understand how cell morphology contributes to the unique firing patterns of ON and OFF retinal ganglion cells (RGCs). With identical voltage-gated channel kinetics and distribution, cell morphology alone is sufficient to generate quantitatively distinct electrophysiological responses. Notably, recent experimental observations from ON and OFF RGCs can be closely reproduced by the variations in their cell morphologies alone. Our results suggest that RGC morphology in conjunction with biophysical properties and network connectivity are able to produce the diverse response repertoire of RGCs.
authors.forename: Tianruo
authors.initials: T
authors.lastname: Guo
authors.forename: David
authors.initials: D
authors.lastname: Tsai
authors.forename: John W
authors.initials: JW
authors.lastname: Morley
authors.forename: Gregg J
authors.initials: GJ
authors.lastname: Suaning
authors.forename: Nigel H
authors.initials: NH
authors.lastname: Lovell
authors.forename: Socrates
authors.initials: S
authors.lastname: Dokos
mesh_terms: D000818:Animals; D003198:Computer Simulation; D055724:Electrophysiological Phenomena; D051379:Mice; D008962:Models, Theoretical; D012165:Retinal Ganglion Cells / Q000502:physiology*